Biology and life table parameters of Aceria melongena (Trombidiformes: Eriophyidae) on eggplant | ||||
| Acarines: Journal of the Egyptian Society of Acarology | ||||
| Article 4, Volume 16, Issue 1, 2022, Page 17-21 PDF (139.17 K) | ||||
| Document Type: Original research articles | ||||
| DOI: 10.21608/ajesa.2022.291543 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Samah Z. Elkholy 
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| Vegetable and Aromatic Plant Mites Department, Plant Protection Research Institute, Agriculture Research Center, | ||||
| Abstract | ||||
| Developmental time, survival, reproduction and life table parameters of the eriophyid mite, Aceria melongena (Zaher & Abou-Awad) at three constant temperatures (20, 26, and 32°C) on eggplant, Solanum melongena L. (Solanaceae) leaves were presented. All immature stages developed faster when temperature was increased from 20 to 32°C. Females’ developmental time was the longest at 20°C (14.43 days), followed by 26°C (9.45days). The shortest one was 6.63 days at 32°C. Fecundity and daily oviposition rates were the highest at 32°C (20.64 eggs/female and 1.36 eggs/female/day). The lowest ones were 14.84 eggs/female and 1.16 eggs/female/day at 20°C. Females/total ranged between 0.60 and 0.65 regardless tested temperatures. Relationships between developmental rates at different temperature were fitted to a linear model with R2 values which ranged between 0.972 and 0.997 for egg, larva, nymph and life cycle, with K values (degree-days) of respectively 36.03, 72.42, 49.69, and 148.84. The highest net reproductive rate (R0) and intrinsic rate of increase (rm) were 11.25 females/female and 0.191 females/female/day at 32°C. These values suggested that the optimal temperature for the population growth of A. melongena ranged between 26 and 32°C. These results could be used to create a computer simulation model that forecast the growth and population dynamics of A. melongena on eggplant. | ||||
| Keywords | ||||
| Eggplant rust mite; life history; temperature; intrinsic rate of increase; biological aspects; forecast | ||||
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